Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 782 |
| Missing cells | 314 |
| Missing cells (%) | 3.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 170.8 KiB |
| Average record size in memory | 223.6 B |
Variable types
| NUM | 10 |
|---|---|
| CAT | 2 |
Reproduction
| Analysis started | 2020-05-14 03:16:38.650017 |
|---|---|
| Analysis finished | 2020-05-14 03:16:56.397367 |
| Version | pandas-profiling v2.6.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
country_mapped has a high cardinality: 164 distinct values | High cardinality |
score is highly correlated with rank | High Correlation |
rank is highly correlated with score | High Correlation |
dystopia has 312 (39.9%) missing values | Missing |
| Distinct count | 164 |
|---|---|
| Unique (%) | 21.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.2 KiB |
| Lithuania | 5 |
|---|---|
| Iraq | 5 |
| Serbia | 5 |
| Mauritania | 5 |
| Armenia | 5 |
| Other values (159) |
| Value | Count | Frequency (%) | |
| Lithuania | 5 | 0.6% | |
| Iraq | 5 | 0.6% | |
| Serbia | 5 | 0.6% | |
| Mauritania | 5 | 0.6% | |
| Armenia | 5 | 0.6% | |
| Spain | 5 | 0.6% | |
| Malta | 5 | 0.6% | |
| Tanzania | 5 | 0.6% | |
| Rwanda | 5 | 0.6% | |
| South Korea | 5 | 0.6% | |
| Other values (154) | 732 | 93.6% |
Length
| Max length | 24 |
|---|---|
| Mean length | 8.164961637 |
| Min length | 4 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 26 | 49.1% | |
| Uppercase_Letter | 24 | 45.3% | |
| Open_Punctuation | 1 | 1.9% | |
| Space_Separator | 1 | 1.9% | |
| Close_Punctuation | 1 | 1.9% |
| Value | Count | Frequency (%) | |
| Latin | 50 | 94.3% | |
| Common | 3 | 5.7% |
| Value | Count | Frequency (%) | |
| ASCII | 53 | 100.0% |
region
Categorical
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.3% |
| Missing | 1 |
| Missing (%) | 0.1% |
| Memory size | 6.2 KiB |
| Sub-Saharan Africa | |
|---|---|
| Central and Eastern Europe | |
| Latin America and Caribbean | |
| Western Europe | |
| Middle East and Northern Africa | |
| Other values (5) |
| Value | Count | Frequency (%) | |
| Sub-Saharan Africa | 195 | 24.9% | |
| Central and Eastern Europe | 145 | 18.5% | |
| Latin America and Caribbean | 111 | 14.2% | |
| Western Europe | 105 | 13.4% | |
| Middle East and Northern Africa | 96 | 12.3% | |
| Southeastern Asia | 44 | 5.6% | |
| Southern Asia | 35 | 4.5% | |
| Eastern Asia | 30 | 3.8% | |
| Australia and New Zealand | 10 | 1.3% | |
| North America | 10 | 1.3% | |
| (Missing) | 1 | 0.1% |
Length
| Max length | 31 |
|---|---|
| Mean length | 21.31585678 |
| Min length | 3 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 18 | 62.1% | |
| Uppercase_Letter | 9 | 31.0% | |
| Dash_Punctuation | 1 | 3.4% | |
| Space_Separator | 1 | 3.4% |
| Value | Count | Frequency (%) | |
| Latin | 27 | 93.1% | |
| Common | 2 | 6.9% |
| Value | Count | Frequency (%) | |
| ASCII | 29 | 100.0% |
year
Real number (ℝ≥0)
| Distinct count | 5 |
|---|---|
| Unique (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2016.9936061381075 |
|---|---|
| Minimum | 2015 |
| Maximum | 2019 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 2015 |
|---|---|
| 5-th percentile | 2015 |
| Q1 | 2016 |
| median | 2017 |
| Q3 | 2018 |
| 95-th percentile | 2019 |
| Maximum | 2019 |
| Range | 4 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.417364432 |
|---|---|
| Coefficient of variation (CV) | 0.0007027114157 |
| Kurtosis | -1.305269806 |
| Mean | 2016.993606 |
| Median Absolute Deviation (MAD) | 1.204567605 |
| Skewness | 0.005903894403 |
| Sum | 1577289 |
| Variance | 2.008921934 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[2015. 2015.5 2018.5 2019. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 2015 | 158 | 20.2% | |
| 2016 | 157 | 20.1% | |
| 2019 | 156 | 19.9% | |
| 2018 | 156 | 19.9% | |
| 2017 | 155 | 19.8% |
| Value | Count | Frequency (%) | |
| 2015 | 158 | 20.2% | |
| 2016 | 157 | 20.1% | |
| 2017 | 155 | 19.8% | |
| 2018 | 156 | 19.9% | |
| 2019 | 156 | 19.9% |
| Value | Count | Frequency (%) | |
| 2019 | 156 | 19.9% | |
| 2018 | 156 | 19.9% | |
| 2017 | 155 | 19.8% | |
| 2016 | 157 | 20.1% | |
| 2015 | 158 | 20.2% |
| Distinct count | 158 |
|---|---|
| Unique (%) | 20.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 78.69820971867007 |
|---|---|
| Minimum | 1 |
| Maximum | 158 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 8.05 |
| Q1 | 40 |
| median | 79 |
| Q3 | 118 |
| 95-th percentile | 149 |
| Maximum | 158 |
| Range | 157 |
| Interquartile range (IQR) | 78 |
Descriptive statistics
| Standard deviation | 45.18238438 |
|---|---|
| Coefficient of variation (CV) | 0.5741221375 |
| Kurtosis | -1.199701126 |
| Mean | 78.69820972 |
| Median Absolute Deviation (MAD) | 39.10307363 |
| Skewness | 0.0004973514565 |
| Sum | 61542 |
| Variance | 2041.447859 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 158.], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 57 | 6 | 0.8% | |
| 82 | 6 | 0.8% | |
| 34 | 6 | 0.8% | |
| 145 | 6 | 0.8% | |
| 50 | 5 | 0.6% | |
| 56 | 5 | 0.6% | |
| 55 | 5 | 0.6% | |
| 54 | 5 | 0.6% | |
| 53 | 5 | 0.6% | |
| 52 | 5 | 0.6% | |
| Other values (148) | 728 | 93.1% |
| Value | Count | Frequency (%) | |
| 1 | 5 | 0.6% | |
| 2 | 5 | 0.6% | |
| 3 | 5 | 0.6% | |
| 4 | 5 | 0.6% | |
| 5 | 5 | 0.6% |
| Value | Count | Frequency (%) | |
| 158 | 1 | 0.1% | |
| 157 | 2 | 0.3% | |
| 156 | 4 | 0.5% | |
| 155 | 5 | 0.6% | |
| 154 | 5 | 0.6% |
| Distinct count | 716 |
|---|---|
| Unique (%) | 91.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.379017902998669 |
|---|---|
| Minimum | 2.69300007820129 |
| Maximum | 7.769 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 2.693000078 |
|---|---|
| 5-th percentile | 3.58715 |
| Q1 | 4.50975 |
| median | 5.322 |
| Q3 | 6.1895 |
| 95-th percentile | 7.31395 |
| Maximum | 7.769 |
| Range | 5.075999922 |
| Interquartile range (IQR) | 1.67975 |
Descriptive statistics
| Standard deviation | 1.12745646 |
|---|---|
| Coefficient of variation (CV) | 0.2096026599 |
| Kurtosis | -0.7610545866 |
| Mean | 5.379017903 |
| Median Absolute Deviation (MAD) | 0.9385068492 |
| Skewness | 0.03585943327 |
| Sum | 4206.392 |
| Variance | 1.27115807 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[2.69300008 3.46199995 4.13899997 6.4885 7.616 7.769 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 5.835 | 3 | 0.4% | |
| 6.375 | 3 | 0.4% | |
| 6.379 | 3 | 0.4% | |
| 2.905 | 3 | 0.4% | |
| 5.129 | 3 | 0.4% | |
| 4.35 | 3 | 0.4% | |
| 5.89 | 3 | 0.4% | |
| 5.192 | 3 | 0.4% | |
| 4.36 | 2 | 0.3% | |
| 4.356 | 2 | 0.3% | |
| Other values (706) | 754 | 96.4% |
| Value | Count | Frequency (%) | |
| 2.693000078 | 1 | 0.1% | |
| 2.839 | 1 | 0.1% | |
| 2.853 | 1 | 0.1% | |
| 2.904999971 | 1 | 0.1% | |
| 2.905 | 3 | 0.4% |
| Value | Count | Frequency (%) | |
| 7.769 | 1 | 0.1% | |
| 7.632 | 1 | 0.1% | |
| 7.6 | 1 | 0.1% | |
| 7.594 | 1 | 0.1% | |
| 7.587 | 1 | 0.1% |
gdp_pc
Real number (ℝ≥0)
| Distinct count | 742 |
|---|---|
| Unique (%) | 94.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9160474824829717 |
|---|---|
| Minimum | 0.0 |
| Maximum | 2.096 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.208797 |
| Q1 | 0.6065 |
| median | 0.9822047088 |
| Q3 | 1.236187109 |
| 95-th percentile | 1.487882078 |
| Maximum | 2.096 |
| Range | 2.096 |
| Interquartile range (IQR) | 0.629687109 |
Descriptive statistics
| Standard deviation | 0.4073401313 |
|---|---|
| Coefficient of variation (CV) | 0.4446714161 |
| Kurtosis | -0.6927595054 |
| Mean | 0.9160474825 |
| Median Absolute Deviation (MAD) | 0.3389627517 |
| Skewness | -0.3185805094 |
| Sum | 716.3491313 |
| Variance | 0.1659259826 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0. 0.25579 0.87243597 1.40584302 1.50933 1.69489883 2.096 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 5 | 0.6% | |
| 0.96 | 4 | 0.5% | |
| 0.332 | 3 | 0.4% | |
| 1.34 | 3 | 0.4% | |
| 0.308 | 2 | 0.3% | |
| 1.221 | 2 | 0.3% | |
| 0.642 | 2 | 0.3% | |
| 1.092 | 2 | 0.3% | |
| 1.017 | 2 | 0.3% | |
| 0.274 | 2 | 0.3% | |
| Other values (732) | 755 | 96.5% |
| Value | Count | Frequency (%) | |
| 0 | 5 | 0.6% | |
| 0.0153 | 1 | 0.1% | |
| 0.01604 | 1 | 0.1% | |
| 0.02264318429 | 1 | 0.1% | |
| 0.024 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 2.096 | 1 | 0.1% | |
| 1.870765686 | 1 | 0.1% | |
| 1.82427 | 1 | 0.1% | |
| 1.741943598 | 1 | 0.1% | |
| 1.69752 | 1 | 0.1% |
family
Real number (ℝ≥0)
| Distinct count | 732 |
|---|---|
| Unique (%) | 93.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.0783924825069788 |
|---|---|
| Minimum | 0.0 |
| Maximum | 1.644 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.46133 |
| Q1 | 0.8693625 |
| median | 1.124735 |
| Q3 | 1.32725 |
| 95-th percentile | 1.522 |
| Maximum | 1.644 |
| Range | 1.644 |
| Interquartile range (IQR) | 0.4578875 |
Descriptive statistics
| Standard deviation | 0.3295483193 |
|---|---|
| Coefficient of variation (CV) | 0.305592189 |
| Kurtosis | 0.1584486833 |
| Mean | 1.078392483 |
| Median Absolute Deviation (MAD) | 0.2662289482 |
| Skewness | -0.6846322898 |
| Sum | 843.3029213 |
| Variance | 0.1086020948 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0. 0.375 0.7545513 1.55861556 1.644 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 5 | 0.6% | |
| 1.125 | 3 | 0.4% | |
| 1.41 | 3 | 0.4% | |
| 1.465 | 3 | 0.4% | |
| 1.438 | 3 | 0.4% | |
| 1.504 | 3 | 0.4% | |
| 1.538 | 3 | 0.4% | |
| 1.487 | 2 | 0.3% | |
| 1.369 | 2 | 0.3% | |
| 1.301 | 2 | 0.3% | |
| Other values (722) | 753 | 96.3% |
| Value | Count | Frequency (%) | |
| 0 | 5 | 0.6% | |
| 0.10419 | 1 | 0.1% | |
| 0.11037 | 1 | 0.1% | |
| 0.13995 | 1 | 0.1% | |
| 0.147 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 1.644 | 1 | 0.1% | |
| 1.624 | 1 | 0.1% | |
| 1.610574007 | 1 | 0.1% | |
| 1.601 | 1 | 0.1% | |
| 1.592 | 1 | 0.1% |
health
Real number (ℝ≥0)
| Distinct count | 705 |
|---|---|
| Unique (%) | 90.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.612415577116253 |
|---|---|
| Minimum | 0.0 |
| Maximum | 1.141 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.1578945 |
| Q1 | 0.4401825 |
| median | 0.6473095147 |
| Q3 | 0.808 |
| 95-th percentile | 0.954973 |
| Maximum | 1.141 |
| Range | 1.141 |
| Interquartile range (IQR) | 0.3678175 |
Descriptive statistics
| Standard deviation | 0.2483086404 |
|---|---|
| Coefficient of variation (CV) | 0.4054577474 |
| Kurtosis | -0.487571207 |
| Mean | 0.6124155771 |
| Median Absolute Deviation (MAD) | 0.2022435913 |
| Skewness | -0.5012025622 |
| Sum | 478.9089813 |
| Variance | 0.06165718089 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0. 0.00278238 0.1508554 0.573825 0.914455 1.0485 1.141 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.815 | 5 | 0.6% | |
| 0.999 | 5 | 0.6% | |
| 0 | 5 | 0.6% | |
| 0.828 | 4 | 0.5% | |
| 0.874 | 4 | 0.5% | |
| 0.871 | 3 | 0.4% | |
| 0.854 | 3 | 0.4% | |
| 0.861 | 3 | 0.4% | |
| 0.884 | 3 | 0.4% | |
| 0.808 | 3 | 0.4% | |
| Other values (695) | 744 | 95.1% |
| Value | Count | Frequency (%) | |
| 0 | 5 | 0.6% | |
| 0.005564753897 | 1 | 0.1% | |
| 0.01 | 1 | 0.1% | |
| 0.0187726859 | 1 | 0.1% | |
| 0.03824 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 1.141 | 1 | 0.1% | |
| 1.122 | 1 | 0.1% | |
| 1.088 | 1 | 0.1% | |
| 1.062 | 1 | 0.1% | |
| 1.052 | 1 | 0.1% |
freedom
Real number (ℝ≥0)
| Distinct count | 697 |
|---|---|
| Unique (%) | 89.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4110908258223149 |
|---|---|
| Minimum | 0.0 |
| Maximum | 0.7240000000000001 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.128096 |
| Q1 | 0.3097675 |
| median | 0.431 |
| Q3 | 0.531 |
| 95-th percentile | 0.6308885 |
| Maximum | 0.724 |
| Range | 0.724 |
| Interquartile range (IQR) | 0.2212325 |
Descriptive statistics
| Standard deviation | 0.1528804206 |
|---|---|
| Coefficient of variation (CV) | 0.3718896434 |
| Kurtosis | -0.3072054061 |
| Mean | 0.4110908258 |
| Median Absolute Deviation (MAD) | 0.1242625761 |
| Skewness | -0.5212591254 |
| Sum | 321.4730258 |
| Variance | 0.02337242301 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0. 0.223 0.3545 0.5975 0.66123 0.724 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 5 | 0.6% | |
| 0.557 | 4 | 0.5% | |
| 0.454 | 3 | 0.4% | |
| 0.334 | 3 | 0.4% | |
| 0.406 | 3 | 0.4% | |
| 0.394 | 3 | 0.4% | |
| 0.312 | 3 | 0.4% | |
| 0.498 | 3 | 0.4% | |
| 0.431 | 3 | 0.4% | |
| 0.531 | 3 | 0.4% | |
| Other values (687) | 749 | 95.8% |
| Value | Count | Frequency (%) | |
| 0 | 5 | 0.6% | |
| 0.00589 | 1 | 0.1% | |
| 0.01 | 1 | 0.1% | |
| 0.013 | 1 | 0.1% | |
| 0.01499585528 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 0.724 | 1 | 0.1% | |
| 0.696 | 1 | 0.1% | |
| 0.686 | 1 | 0.1% | |
| 0.683 | 1 | 0.1% | |
| 0.681 | 1 | 0.1% |
trust
Real number (ℝ≥0)
| Distinct count | 635 |
|---|---|
| Unique (%) | 81.3% |
| Missing | 1 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.12543561357358715 |
|---|---|
| Minimum | 0.0 |
| Maximum | 0.55191 |
| Zeros | 6 |
| Zeros (%) | 0.8% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.018 |
| Q1 | 0.054 |
| median | 0.091 |
| Q3 | 0.15603 |
| 95-th percentile | 0.37124 |
| Maximum | 0.55191 |
| Range | 0.55191 |
| Interquartile range (IQR) | 0.10203 |
Descriptive statistics
| Standard deviation | 0.1058164476 |
|---|---|
| Coefficient of variation (CV) | 0.8435917404 |
| Kurtosis | 1.880108294 |
| Mean | 0.1254356136 |
| Median Absolute Deviation (MAD) | 0.07896168061 |
| Skewness | 1.5208882 |
| Sum | 97.9652142 |
| Variance | 0.01119712057 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0.082 | 7 | 0.9% | |
| 0 | 6 | 0.8% | |
| 0.034 | 6 | 0.8% | |
| 0.064 | 6 | 0.8% | |
| 0.028 | 6 | 0.8% | |
| 0.078 | 6 | 0.8% | |
| 0.056 | 5 | 0.6% | |
| 0.074 | 5 | 0.6% | |
| 0.055 | 5 | 0.6% | |
| 0.093 | 5 | 0.6% | |
| Other values (625) | 724 | 92.6% |
| Value | Count | Frequency (%) | |
| 0 | 6 | 0.8% | |
| 0.001 | 1 | 0.1% | |
| 0.00227 | 1 | 0.1% | |
| 0.00322 | 1 | 0.1% | |
| 0.004 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 0.55191 | 1 | 0.1% | |
| 0.52208 | 1 | 0.1% | |
| 0.50521 | 1 | 0.1% | |
| 0.4921 | 1 | 0.1% | |
| 0.48357 | 1 | 0.1% |
generosity
Real number (ℝ≥0)
| Distinct count | 664 |
|---|---|
| Unique (%) | 84.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.21857584156082985 |
|---|---|
| Minimum | 0.0 |
| Maximum | 0.8380751609802249 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.05403037467 |
| Q1 | 0.13 |
| median | 0.2019822115 |
| Q3 | 0.2788325 |
| 95-th percentile | 0.4704543383 |
| Maximum | 0.838075161 |
| Range | 0.838075161 |
| Interquartile range (IQR) | 0.1488325 |
Descriptive statistics
| Standard deviation | 0.1223207487 |
|---|---|
| Coefficient of variation (CV) | 0.5596261135 |
| Kurtosis | 2.020258278 |
| Mean | 0.2185758416 |
| Median Absolute Deviation (MAD) | 0.09334568909 |
| Skewness | 1.044360015 |
| Sum | 170.9263081 |
| Variance | 0.01496236557 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0. 0.000995 0.0255 0.09796325 0.286285 0.38658294 0.51832 0.83807516], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.175 | 6 | 0.8% | |
| 0 | 5 | 0.6% | |
| 0.187 | 5 | 0.6% | |
| 0.153 | 5 | 0.6% | |
| 0.197 | 4 | 0.5% | |
| 0.099 | 4 | 0.5% | |
| 0.083 | 4 | 0.5% | |
| 0.22 | 3 | 0.4% | |
| 0.137 | 3 | 0.4% | |
| 0.285 | 3 | 0.4% | |
| Other values (654) | 740 | 94.6% |
| Value | Count | Frequency (%) | |
| 0 | 5 | 0.6% | |
| 0.00199 | 1 | 0.1% | |
| 0.01016465668 | 1 | 0.1% | |
| 0.02025 | 1 | 0.1% | |
| 0.025 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 0.838075161 | 1 | 0.1% | |
| 0.81971 | 1 | 0.1% | |
| 0.79588 | 1 | 0.1% | |
| 0.6117045879 | 1 | 0.1% | |
| 0.598 | 1 | 0.1% |
| Distinct count | 470 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 312 |
| Missing (%) | 39.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.092716638021185 |
|---|---|
| Minimum | 0.32858000000000004 |
| Maximum | 3.83772 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0.32858 |
|---|---|
| 5-th percentile | 1.126492703 |
| Q1 | 1.737975 |
| median | 2.09464 |
| Q3 | 2.455574545 |
| 95-th percentile | 3.025559 |
| Maximum | 3.83772 |
| Range | 3.50914 |
| Interquartile range (IQR) | 0.7175995455 |
Descriptive statistics
| Standard deviation | 0.5657717565 |
|---|---|
| Coefficient of variation (CV) | 0.2703527779 |
| Kurtosis | 0.4141306299 |
| Mean | 2.092716638 |
| Median Absolute Deviation (MAD) | 0.4396580606 |
| Skewness | -0.1216469469 |
| Sum | 983.5768199 |
| Variance | 0.3200976805 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1.83302 | 1 | 0.1% | |
| 3.31029 | 1 | 0.1% | |
| 2.26646 | 1 | 0.1% | |
| 1.34759 | 1 | 0.1% | |
| 1.99375 | 1 | 0.1% | |
| 2.40364 | 1 | 0.1% | |
| 1.59888 | 1 | 0.1% | |
| 1.322916269 | 1 | 0.1% | |
| 1.784892559 | 1 | 0.1% | |
| 2.43801 | 1 | 0.1% | |
| Other values (460) | 460 | 58.8% | |
| (Missing) | 312 | 39.9% |
| Value | Count | Frequency (%) | |
| 0.32858 | 1 | 0.1% | |
| 0.3779137135 | 1 | 0.1% | |
| 0.4193892479 | 1 | 0.1% | |
| 0.5400612354 | 1 | 0.1% | |
| 0.5546331406 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 3.83772 | 1 | 0.1% | |
| 3.60214 | 1 | 0.1% | |
| 3.55906 | 1 | 0.1% | |
| 3.50733 | 1 | 0.1% | |
| 3.40904 | 1 | 0.1% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
First rows
| country_mapped | region | year | rank | score | gdp_pc | family | health | freedom | trust | generosity | dystopia | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Southern Asia | 2015 | 153 | 3.575 | 0.319820 | 0.302850 | 0.303350 | 0.234140 | 0.097190 | 0.365100 | 1.952100 |
| 1 | Afghanistan | Southern Asia | 2016 | 154 | 3.360 | 0.382270 | 0.110370 | 0.173440 | 0.164300 | 0.071120 | 0.312680 | 2.145580 |
| 2 | Afghanistan | Southern Asia | 2017 | 141 | 3.794 | 0.401477 | 0.581543 | 0.180747 | 0.106180 | 0.061158 | 0.311871 | 2.150801 |
| 3 | Afghanistan | Southern Asia | 2018 | 145 | 3.632 | 0.332000 | 0.537000 | 0.255000 | 0.085000 | 0.036000 | 0.191000 | NaN |
| 4 | Afghanistan | Southern Asia | 2019 | 154 | 3.203 | 0.350000 | 0.517000 | 0.361000 | 0.000000 | 0.025000 | 0.158000 | NaN |
| 5 | Albania | Central and Eastern Europe | 2015 | 95 | 4.959 | 0.878670 | 0.804340 | 0.813250 | 0.357330 | 0.064130 | 0.142720 | 1.898940 |
| 6 | Albania | Central and Eastern Europe | 2016 | 109 | 4.655 | 0.955300 | 0.501630 | 0.730070 | 0.318660 | 0.053010 | 0.168400 | 1.928160 |
| 7 | Albania | Central and Eastern Europe | 2017 | 109 | 4.644 | 0.996193 | 0.803685 | 0.731160 | 0.381499 | 0.039864 | 0.201313 | 1.490442 |
| 8 | Albania | Central and Eastern Europe | 2018 | 112 | 4.586 | 0.916000 | 0.817000 | 0.790000 | 0.419000 | 0.032000 | 0.149000 | NaN |
| 9 | Albania | Central and Eastern Europe | 2019 | 107 | 4.719 | 0.947000 | 0.848000 | 0.874000 | 0.383000 | 0.027000 | 0.178000 | NaN |
Last rows
| country_mapped | region | year | rank | score | gdp_pc | family | health | freedom | trust | generosity | dystopia | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 772 | Zambia | Sub-Saharan Africa | 2015 | 85 | 5.129 | 0.470380 | 0.916120 | 0.299240 | 0.488270 | 0.124680 | 0.195910 | 2.634300 |
| 773 | Zambia | Sub-Saharan Africa | 2016 | 106 | 4.795 | 0.612020 | 0.637600 | 0.235730 | 0.426620 | 0.114790 | 0.178660 | 2.589910 |
| 774 | Zambia | Sub-Saharan Africa | 2017 | 116 | 4.514 | 0.636407 | 1.003187 | 0.257836 | 0.461603 | 0.078214 | 0.249580 | 1.826705 |
| 775 | Zambia | Sub-Saharan Africa | 2018 | 125 | 4.377 | 0.562000 | 1.047000 | 0.295000 | 0.503000 | 0.082000 | 0.221000 | NaN |
| 776 | Zambia | Sub-Saharan Africa | 2019 | 138 | 4.107 | 0.578000 | 1.058000 | 0.426000 | 0.431000 | 0.087000 | 0.247000 | NaN |
| 777 | Zimbabwe | Sub-Saharan Africa | 2015 | 115 | 4.610 | 0.271000 | 1.032760 | 0.334750 | 0.258610 | 0.080790 | 0.189870 | 2.441910 |
| 778 | Zimbabwe | Sub-Saharan Africa | 2016 | 131 | 4.193 | 0.350410 | 0.714780 | 0.159500 | 0.254290 | 0.085820 | 0.185030 | 2.442700 |
| 779 | Zimbabwe | Sub-Saharan Africa | 2017 | 138 | 3.875 | 0.375847 | 1.083096 | 0.196764 | 0.336384 | 0.095375 | 0.189143 | 1.597970 |
| 780 | Zimbabwe | Sub-Saharan Africa | 2018 | 144 | 3.692 | 0.357000 | 1.094000 | 0.248000 | 0.406000 | 0.099000 | 0.132000 | NaN |
| 781 | Zimbabwe | Sub-Saharan Africa | 2019 | 146 | 3.663 | 0.366000 | 1.114000 | 0.433000 | 0.361000 | 0.089000 | 0.151000 | NaN |